Volunteer Summary - MMH
CONSORT map
Demographic information
Characteristic | N = 281 |
|---|---|
age | 42.28 ± 14.85 (21 - 70) |
gender | |
female | 24 (86%) |
male | 4 (14%) |
occupation | |
civil | 1 (3.6%) |
clerk | 6 (21%) |
homemaker | 5 (18%) |
manager | 3 (11%) |
other | 3 (11%) |
professional | 3 (11%) |
retired | 2 (7.1%) |
service | 1 (3.6%) |
student | 3 (11%) |
unemploy | 1 (3.6%) |
marital | |
divorced | 2 (7.1%) |
married | 9 (32%) |
single | 17 (61%) |
education | |
primary | 0 (0%) |
secondary | 7 (25%) |
post-secondary | 3 (11%) |
university | 18 (64%) |
family_income | |
0_10000 | 4 (14%) |
10001_20000 | 6 (21%) |
20001_30000 | 4 (14%) |
30001_40000 | 5 (18%) |
40000_above | 9 (32%) |
religion | |
buddhism | 1 (3.6%) |
catholic | 3 (11%) |
christianity | 9 (32%) |
nil | 13 (46%) |
other | 1 (3.6%) |
taoism | 1 (3.6%) |
source | |
bokss | 14 (50%) |
2 (7.1%) | |
other | 6 (21%) |
refresh | 6 (21%) |
previous_volunteer | |
yes_beyong_12_month | 12 (43%) |
yes_within_12_month | 16 (57%) |
previous_volunteer_r | |
yes | 28 (100%) |
current_volunteer | |
no | 11 (39%) |
yes | 17 (61%) |
number_volunteer_r | 1.00 ± 1.05 (0 - 3) |
1Mean ± SD (Range); n (%) | |
Measurement
Characteristic | 1st, N = 281 | 2nd, N = 271 |
|---|---|---|
sets | 19.75 ± 2.20 (15 - 25) | 19.52 ± 2.23 (14 - 25) |
setv | 11.11 ± 1.71 (8 - 15) | 11.30 ± 1.88 (7 - 15) |
maks | 44.25 ± 3.50 (38 - 54) | 44.93 ± 3.86 (36 - 54) |
ibs | 15.36 ± 2.08 (9 - 20) | 15.93 ± 1.41 (13 - 20) |
ers_e | 12.25 ± 1.04 (10 - 15) | 12.26 ± 1.26 (10 - 15) |
ers_r | 11.29 ± 1.44 (8 - 15) | 11.52 ± 1.42 (9 - 15) |
pss_pa | 45.36 ± 4.42 (31 - 53) | 44.19 ± 3.93 (36 - 50) |
pss_ps | 24.43 ± 6.61 (12 - 41) | 24.15 ± 6.86 (13 - 38) |
pss | 42.07 ± 10.23 (24 - 67) | 42.96 ± 10.07 (27 - 61) |
rki_responsible | 21.39 ± 3.07 (14 - 27) | 21.30 ± 3.35 (16 - 28) |
rki_nonlinear | 13.29 ± 2.27 (8 - 17) | 13.67 ± 3.15 (7 - 20) |
rki_peer | 19.96 ± 1.99 (17 - 25) | 20.33 ± 2.27 (15 - 25) |
rki_expect | 4.86 ± 1.04 (3 - 7) | 5.07 ± 1.11 (3 - 8) |
rki | 59.50 ± 4.16 (52 - 67) | 60.37 ± 5.25 (51 - 70) |
raq_possible | 15.21 ± 1.69 (12 - 20) | 15.70 ± 1.54 (12 - 19) |
raq_difficulty | 12.11 ± 1.52 (9 - 15) | 12.33 ± 1.36 (9 - 15) |
raq | 27.32 ± 3.03 (21 - 35) | 28.04 ± 2.81 (21 - 34) |
who | 15.39 ± 4.35 (8 - 25) | 15.11 ± 4.63 (9 - 25) |
phq | 3.57 ± 3.95 (0 - 18) | 3.41 ± 3.47 (0 - 14) |
gad | 2.93 ± 3.21 (0 - 12) | 3.15 ± 3.00 (0 - 10) |
nb_pcs | 47.93 ± 8.57 (27 - 61) | 50.51 ± 6.53 (34 - 58) |
nb_mcs | 52.30 ± 8.20 (35 - 70) | 51.33 ± 6.41 (36 - 65) |
1Mean ± SD (Range) | ||
Data analysis
Table
Group | Characteristic | Beta | SE1 | 95% CI1 | p-value |
|---|---|---|---|---|---|
sets | (Intercept) | 21.8 | 2.306 | 17.3, 26.3 | |
age | -0.032 | 0.029 | -0.090, 0.025 | 0.289 | |
gender | |||||
female | — | — | — | ||
male | 0.662 | 0.995 | -1.29, 2.61 | 0.514 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.693 | 0.777 | -0.831, 2.22 | 0.384 | |
number_volunteer_r | 0.623 | 0.487 | -0.332, 1.58 | 0.209 | |
attendance | -0.359 | 0.391 | -1.13, 0.408 | 0.372 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.520 | 0.798 | -1.04, 2.08 | 0.520 | |
Pseudo R square | 0.178 | ||||
setv | (Intercept) | 13.6 | 2.087 | 9.53, 17.7 | |
age | -0.011 | 0.027 | -0.063, 0.042 | 0.692 | |
gender | |||||
female | — | — | — | ||
male | 0.767 | 0.906 | -1.01, 2.54 | 0.409 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -0.543 | 0.701 | -1.92, 0.830 | 0.449 | |
number_volunteer_r | 0.505 | 0.331 | -0.143, 1.15 | 0.137 | |
attendance | -0.494 | 0.357 | -1.19, 0.206 | 0.186 | |
time_point | |||||
1st | — | — | — | ||
2nd | 1.01 | 0.507 | 0.012, 2.00 | 0.059 | |
Pseudo R square | 0.156 | ||||
maks | (Intercept) | 45.3 | 5.060 | 35.4, 55.2 | |
age | 0.053 | 0.065 | -0.076, 0.181 | 0.432 | |
gender | |||||
female | — | — | — | ||
male | 2.26 | 2.203 | -2.06, 6.58 | 0.319 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -1.37 | 1.693 | -4.68, 1.95 | 0.430 | |
number_volunteer_r | -0.399 | 0.573 | -1.52, 0.725 | 0.493 | |
attendance | -0.488 | 0.870 | -2.19, 1.22 | 0.582 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.366 | 0.851 | -1.30, 2.03 | 0.671 | |
Pseudo R square | 0.087 | ||||
ibs | (Intercept) | 17.5 | 1.839 | 13.9, 21.1 | |
age | 0.010 | 0.024 | -0.036, 0.056 | 0.680 | |
gender | |||||
female | — | — | — | ||
male | -1.62 | 0.798 | -3.18, -0.056 | 0.057 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -1.23 | 0.617 | -2.44, -0.020 | 0.061 | |
number_volunteer_r | 0.125 | 0.299 | -0.462, 0.711 | 0.680 | |
attendance | -0.368 | 0.315 | -0.985, 0.248 | 0.257 | |
time_point | |||||
1st | — | — | — | ||
2nd | 1.04 | 0.460 | 0.141, 1.94 | 0.032 | |
Pseudo R square | 0.298 | ||||
ers_e | (Intercept) | 13.0 | 1.427 | 10.2, 15.8 | |
age | -0.003 | 0.018 | -0.039, 0.033 | 0.871 | |
gender | |||||
female | — | — | — | ||
male | -0.630 | 0.621 | -1.85, 0.587 | 0.324 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -0.040 | 0.478 | -0.978, 0.897 | 0.934 | |
number_volunteer_r | 0.434 | 0.187 | 0.068, 0.800 | 0.028 | |
attendance | -0.152 | 0.245 | -0.633, 0.328 | 0.542 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.497 | 0.280 | -0.053, 1.05 | 0.089 | |
Pseudo R square | 0.095 | ||||
ers_r | (Intercept) | 13.2 | 1.609 | 10.0, 16.3 | |
age | 0.007 | 0.021 | -0.034, 0.047 | 0.743 | |
gender | |||||
female | — | — | — | ||
male | -0.839 | 0.697 | -2.21, 0.528 | 0.245 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.115 | 0.541 | -0.945, 1.18 | 0.834 | |
number_volunteer_r | 0.190 | 0.284 | -0.367, 0.748 | 0.508 | |
attendance | -0.434 | 0.275 | -0.972, 0.105 | 0.132 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.460 | 0.444 | -0.410, 1.33 | 0.310 | |
Pseudo R square | 0.122 | ||||
pss_pa | (Intercept) | 46.3 | 4.666 | 37.1, 55.4 | |
age | 0.031 | 0.060 | -0.086, 0.149 | 0.606 | |
gender | |||||
female | — | — | — | ||
male | -3.89 | 2.024 | -7.86, 0.074 | 0.070 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -1.11 | 1.568 | -4.19, 1.96 | 0.487 | |
number_volunteer_r | 0.295 | 0.790 | -1.25, 1.84 | 0.711 | |
attendance | -0.346 | 0.798 | -1.91, 1.22 | 0.669 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.177 | 1.222 | -2.22, 2.57 | 0.886 | |
Pseudo R square | 0.151 | ||||
pss_ps | (Intercept) | 17.0 | 8.020 | 1.28, 32.7 | |
age | 0.005 | 0.104 | -0.198, 0.208 | 0.962 | |
gender | |||||
female | — | — | — | ||
male | 2.01 | 3.492 | -4.83, 8.86 | 0.572 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 5.20 | 2.683 | -0.055, 10.5 | 0.068 | |
number_volunteer_r | -1.40 | 0.878 | -3.12, 0.317 | 0.122 | |
attendance | 1.08 | 1.380 | -1.63, 3.78 | 0.446 | |
time_point | |||||
1st | — | — | — | ||
2nd | -3.33 | 1.300 | -5.88, -0.786 | 0.017 | |
Pseudo R square | 0.162 | ||||
pss | (Intercept) | 33.7 | 12.025 | 10.2, 57.3 | |
age | -0.026 | 0.155 | -0.331, 0.278 | 0.867 | |
gender | |||||
female | — | — | — | ||
male | 5.90 | 5.233 | -4.36, 16.2 | 0.274 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 6.31 | 4.026 | -1.58, 14.2 | 0.134 | |
number_volunteer_r | -1.69 | 1.452 | -4.53, 1.16 | 0.256 | |
attendance | 1.42 | 2.067 | -2.63, 5.47 | 0.500 | |
time_point | |||||
1st | — | — | — | ||
2nd | -3.50 | 2.165 | -7.74, 0.744 | 0.119 | |
Pseudo R square | 0.147 | ||||
rki_responsible | (Intercept) | 17.1 | 2.830 | 11.5, 22.6 | |
age | -0.054 | 0.036 | -0.125, 0.017 | 0.154 | |
gender | |||||
female | — | — | — | ||
male | -2.39 | 1.222 | -4.79, 0.004 | 0.066 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.913 | 0.954 | -0.956, 2.78 | 0.350 | |
number_volunteer_r | -0.378 | 0.582 | -1.52, 0.762 | 0.520 | |
attendance | 1.39 | 0.481 | 0.451, 2.34 | 0.010 | |
time_point | |||||
1st | — | — | — | ||
2nd | -0.482 | 0.943 | -2.33, 1.37 | 0.614 | |
Pseudo R square | 0.262 | ||||
rki_nonlinear | (Intercept) | 12.2 | 3.293 | 5.75, 18.7 | |
age | -0.046 | 0.042 | -0.129, 0.037 | 0.288 | |
gender | |||||
female | — | — | — | ||
male | -0.767 | 1.428 | -3.57, 2.03 | 0.598 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -0.317 | 1.106 | -2.49, 1.85 | 0.778 | |
number_volunteer_r | -0.305 | 0.555 | -1.39, 0.782 | 0.586 | |
attendance | 0.710 | 0.563 | -0.393, 1.81 | 0.223 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.029 | 0.858 | -1.65, 1.71 | 0.973 | |
Pseudo R square | 0.092 | ||||
rki_peer | (Intercept) | 21.6 | 2.611 | 16.5, 26.7 | |
age | -0.012 | 0.034 | -0.078, 0.054 | 0.724 | |
gender | |||||
female | — | — | — | ||
male | -0.778 | 1.132 | -3.00, 1.44 | 0.501 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.120 | 0.877 | -1.60, 1.84 | 0.893 | |
number_volunteer_r | 0.434 | 0.444 | -0.435, 1.30 | 0.335 | |
attendance | -0.325 | 0.446 | -1.20, 0.550 | 0.476 | |
time_point | |||||
1st | — | — | — | ||
2nd | 1.11 | 0.687 | -0.241, 2.45 | 0.119 | |
Pseudo R square | 0.071 | ||||
rki_expect | (Intercept) | 5.29 | 1.194 | 2.95, 7.63 | |
age | -0.026 | 0.015 | -0.055, 0.004 | 0.113 | |
gender | |||||
female | — | — | — | ||
male | 0.106 | 0.516 | -0.906, 1.12 | 0.840 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -0.508 | 0.402 | -1.30, 0.280 | 0.222 | |
number_volunteer_r | -0.033 | 0.233 | -0.489, 0.423 | 0.888 | |
attendance | 0.184 | 0.203 | -0.215, 0.582 | 0.379 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.270 | 0.371 | -0.458, 0.997 | 0.473 | |
Pseudo R square | 0.138 | ||||
rki | (Intercept) | 56.2 | 4.440 | 47.5, 64.9 | |
age | -0.138 | 0.057 | -0.249, -0.026 | 0.026 | |
gender | |||||
female | — | — | — | ||
male | -3.82 | 1.920 | -7.59, -0.058 | 0.062 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.222 | 1.495 | -2.71, 3.15 | 0.883 | |
number_volunteer_r | -0.320 | 0.859 | -2.00, 1.36 | 0.712 | |
attendance | 1.96 | 0.756 | 0.481, 3.44 | 0.018 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.884 | 1.367 | -1.80, 3.56 | 0.523 | |
Pseudo R square | 0.290 | ||||
raq_possible | (Intercept) | 14.6 | 1.852 | 11.0, 18.3 | |
age | -0.009 | 0.024 | -0.055, 0.038 | 0.717 | |
gender | |||||
female | — | — | — | ||
male | -1.08 | 0.802 | -2.65, 0.491 | 0.195 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.844 | 0.623 | -0.377, 2.06 | 0.192 | |
number_volunteer_r | 0.053 | 0.327 | -0.588, 0.694 | 0.872 | |
attendance | 0.166 | 0.316 | -0.454, 0.785 | 0.607 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.273 | 0.510 | -0.727, 1.27 | 0.598 | |
Pseudo R square | 0.102 | ||||
raq_difficulty | (Intercept) | 10.6 | 1.769 | 7.12, 14.1 | |
age | -0.007 | 0.023 | -0.052, 0.038 | 0.765 | |
gender | |||||
female | — | — | — | ||
male | -0.498 | 0.768 | -2.00, 1.01 | 0.524 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.530 | 0.594 | -0.634, 1.70 | 0.383 | |
number_volunteer_r | 0.106 | 0.290 | -0.462, 0.675 | 0.716 | |
attendance | 0.312 | 0.303 | -0.281, 0.905 | 0.316 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.241 | 0.447 | -0.634, 1.12 | 0.594 | |
Pseudo R square | 0.066 | ||||
raq | (Intercept) | 25.2 | 3.527 | 18.3, 32.2 | |
age | -0.016 | 0.045 | -0.104, 0.073 | 0.736 | |
gender | |||||
female | — | — | — | ||
male | -1.57 | 1.530 | -4.57, 1.43 | 0.318 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 1.39 | 1.184 | -0.936, 3.71 | 0.257 | |
number_volunteer_r | 0.129 | 0.571 | -0.989, 1.25 | 0.823 | |
attendance | 0.478 | 0.604 | -0.705, 1.66 | 0.439 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.483 | 0.877 | -1.24, 2.20 | 0.587 | |
Pseudo R square | 0.085 | ||||
who | (Intercept) | 17.4 | 5.797 | 6.05, 28.8 | |
age | -0.073 | 0.075 | -0.220, 0.074 | 0.344 | |
gender | |||||
female | — | — | — | ||
male | -1.11 | 2.523 | -6.05, 3.84 | 0.666 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -0.852 | 1.941 | -4.66, 2.95 | 0.666 | |
number_volunteer_r | 0.432 | 0.715 | -0.969, 1.83 | 0.551 | |
attendance | 0.160 | 0.996 | -1.79, 2.11 | 0.874 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.625 | 1.067 | -1.47, 2.72 | 0.564 | |
Pseudo R square | 0.043 | ||||
phq | (Intercept) | -2.57 | 4.956 | -12.3, 7.14 | |
age | 0.024 | 0.064 | -0.102, 0.149 | 0.716 | |
gender | |||||
female | — | — | — | ||
male | 0.553 | 2.160 | -3.68, 4.79 | 0.801 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 1.51 | 1.656 | -1.74, 4.76 | 0.374 | |
number_volunteer_r | -0.466 | 0.456 | -1.36, 0.428 | 0.318 | |
attendance | 0.887 | 0.854 | -0.786, 2.56 | 0.313 | |
time_point | |||||
1st | — | — | — | ||
2nd | -0.356 | 0.671 | -1.67, 0.959 | 0.601 | |
Pseudo R square | 0.076 | ||||
gad | (Intercept) | 0.693 | 4.105 | -7.35, 8.74 | |
age | -0.002 | 0.053 | -0.106, 0.102 | 0.971 | |
gender | |||||
female | — | — | — | ||
male | 2.37 | 1.789 | -1.13, 5.88 | 0.202 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.637 | 1.372 | -2.05, 3.33 | 0.648 | |
number_volunteer_r | -0.213 | 0.398 | -0.993, 0.566 | 0.597 | |
attendance | 0.366 | 0.707 | -1.02, 1.75 | 0.611 | |
time_point | |||||
1st | — | — | — | ||
2nd | 0.212 | 0.586 | -0.936, 1.36 | 0.721 | |
Pseudo R square | 0.089 | ||||
nb_pcs | (Intercept) | 65.5 | 5.616 | 54.5, 76.5 | |
age | -0.290 | 0.072 | -0.431, -0.150 | 0.001 | |
gender | |||||
female | — | — | — | ||
male | -1.38 | 2.426 | -6.13, 3.38 | 0.578 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | 0.466 | 1.892 | -3.24, 4.17 | 0.808 | |
number_volunteer_r | 2.11 | 1.139 | -0.118, 4.34 | 0.071 | |
attendance | -1.13 | 0.955 | -3.00, 0.739 | 0.254 | |
time_point | |||||
1st | — | — | — | ||
2nd | 3.98 | 1.838 | 0.376, 7.58 | 0.040 | |
Pseudo R square | 0.428 | ||||
nb_mcs | (Intercept) | 53.2 | 8.805 | 36.0, 70.5 | |
age | 0.036 | 0.113 | -0.186, 0.259 | 0.752 | |
gender | |||||
female | — | — | — | ||
male | -2.08 | 3.825 | -9.58, 5.41 | 0.593 | |
previous_volunteer | |||||
yes_beyong_12_month | — | — | — | ||
yes_within_12_month | -0.974 | 2.954 | -6.76, 4.82 | 0.746 | |
number_volunteer_r | 0.179 | 1.327 | -2.42, 2.78 | 0.893 | |
attendance | -0.470 | 1.509 | -3.43, 2.49 | 0.759 | |
time_point | |||||
1st | — | — | — | ||
2nd | -0.296 | 2.018 | -4.25, 3.66 | 0.885 | |
Pseudo R square | 0.024 | ||||
1SE = Standard Error, CI = Confidence Interval | |||||
Text
sets
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict sets with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: sets ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.31) and the part related to the fixed effects alone (marginal R2) is of 0.18. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 21.79 (S.E. = 2.31, p < .001, 95% CI [17.27, 26.31]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.03, S.E. = 0.03, p = 0.274, 95% CI [-0.09, 0.03]; Std. beta = -0.18, 95% CI [-0.51, 0.14])
- The effect of gender [male] is statistically non-significant and positive (beta = 0.66, S.E. = 0.99, p = 0.505, 95% CI [-1.29, 2.61]; Std. beta = 0.28, 95% CI [-0.55, 1.11])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.69, S.E. = 0.78, p = 0.373, 95% CI [-0.83, 2.22]; Std. beta = 0.29, 95% CI [-0.35, 0.94])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.62, S.E. = 0.49, p = 0.201, 95% CI [-0.33, 1.58]; Std. beta = 0.23, 95% CI [-0.12, 0.59])
- The effect of attendance is statistically non-significant and negative (beta = -0.36, S.E. = 0.39, p = 0.359, 95% CI [-1.13, 0.41]; Std. beta = -0.15, 95% CI [-0.48, 0.17])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.52, S.E. = 0.80, p = 0.515, 95% CI [-1.04, 2.08]; Std. beta = 0.22, 95% CI [-0.44, 0.88])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
setv
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict setv with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: setv ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.59) and the part related to the fixed effects alone (marginal R2) is of 0.16. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 13.62 (S.E. = 2.09, p < .001, 95% CI [9.53, 17.71]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.01, S.E. = 0.03, p = 0.687, 95% CI [-0.06, 0.04]; Std. beta = -0.08, 95% CI [-0.45, 0.30])
- The effect of gender [male] is statistically non-significant and positive (beta = 0.77, S.E. = 0.91, p = 0.397, 95% CI [-1.01, 2.54]; Std. beta = 0.41, 95% CI [-0.53, 1.35])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -0.54, S.E. = 0.70, p = 0.438, 95% CI [-1.92, 0.83]; Std. beta = -0.29, 95% CI [-1.02, 0.44])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.51, S.E. = 0.33, p = 0.127, 95% CI [-0.14, 1.15]; Std. beta = 0.24, 95% CI [-0.07, 0.54])
- The effect of attendance is statistically non-significant and negative (beta = -0.49, S.E. = 0.36, p = 0.167, 95% CI [-1.19, 0.21]; Std. beta = -0.26, 95% CI [-0.63, 0.11])
- The effect of time point [2nd] is statistically significant and positive (beta = 1.01, S.E. = 0.51, p = 0.047, 95% CI [0.01, 2.00]; Std. beta = 0.53, 95% CI [6.53e-03, 1.06])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
maks
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict maks with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: maks ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.77) and the part related to the fixed effects alone (marginal R2) is of 0.09. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 45.31 (S.E. = 5.06, p < .001, 95% CI [35.40, 55.23]). Within this model:
- The effect of age is statistically non-significant and positive (beta = 0.05, S.E. = 0.07, p = 0.422, 95% CI [-0.08, 0.18]; Std. beta = 0.18, 95% CI [-0.26, 0.62])
- The effect of gender [male] is statistically non-significant and positive (beta = 2.26, S.E. = 2.20, p = 0.305, 95% CI [-2.06, 6.58]; Std. beta = 0.58, 95% CI [-0.53, 1.70])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -1.37, S.E. = 1.69, p = 0.420, 95% CI [-4.68, 1.95]; Std. beta = -0.35, 95% CI [-1.21, 0.50])
- The effect of number volunteer r is statistically non-significant and negative (beta = -0.40, S.E. = 0.57, p = 0.487, 95% CI [-1.52, 0.72]; Std. beta = -0.09, 95% CI [-0.35, 0.17])
- The effect of attendance is statistically non-significant and negative (beta = -0.49, S.E. = 0.87, p = 0.575, 95% CI [-2.19, 1.22]; Std. beta = -0.13, 95% CI [-0.57, 0.31])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.37, S.E. = 0.85, p = 0.667, 95% CI [-1.30, 2.03]; Std. beta = 0.09, 95% CI [-0.34, 0.53])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
ibs
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict ibs with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: ibs ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.65) and the part related to the fixed effects alone (marginal R2) is of 0.30. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 17.54 (S.E. = 1.84, p < .001, 95% CI [13.93, 21.14]). Within this model:
- The effect of age is statistically non-significant and positive (beta = 9.93e-03, S.E. = 0.02, p = 0.675, 95% CI [-0.04, 0.06]; Std. beta = 0.07, 95% CI [-0.27, 0.42])
- The effect of gender [male] is statistically significant and negative (beta = -1.62, S.E. = 0.80, p = 0.042, 95% CI [-3.18, -0.06]; Std. beta = -0.90, 95% CI [-1.76, -0.03])
- The effect of previous volunteer [yes_within_12_month] is statistically significant and negative (beta = -1.23, S.E. = 0.62, p = 0.046, 95% CI [-2.44, -0.02]; Std. beta = -0.68, 95% CI [-1.35, -0.01])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.12, S.E. = 0.30, p = 0.677, 95% CI [-0.46, 0.71]; Std. beta = 0.06, 95% CI [-0.23, 0.35])
- The effect of attendance is statistically non-significant and negative (beta = -0.37, S.E. = 0.31, p = 0.242, 95% CI [-0.98, 0.25]; Std. beta = -0.20, 95% CI [-0.54, 0.14])
- The effect of time point [2nd] is statistically significant and positive (beta = 1.04, S.E. = 0.46, p = 0.023, 95% CI [0.14, 1.94]; Std. beta = 0.58, 95% CI [0.08, 1.08])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
ers_e
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict ers_e with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: ers_e ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.70) and the part related to the fixed effects alone (marginal R2) is of 0.10. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 12.96 (S.E. = 1.43, p < .001, 95% CI [10.16, 15.75]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -3.04e-03, S.E. = 0.02, p = 0.869, 95% CI [-0.04, 0.03]; Std. beta = -0.04, 95% CI [-0.47, 0.39])
- The effect of gender [male] is statistically non-significant and negative (beta = -0.63, S.E. = 0.62, p = 0.310, 95% CI [-1.85, 0.59]; Std. beta = -0.56, 95% CI [-1.65, 0.52])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -0.04, S.E. = 0.48, p = 0.933, 95% CI [-0.98, 0.90]; Std. beta = -0.04, 95% CI [-0.87, 0.80])
- The effect of number volunteer r is statistically significant and positive (beta = 0.43, S.E. = 0.19, p = 0.020, 95% CI [0.07, 0.80]; Std. beta = 0.34, 95% CI [0.05, 0.63])
- The effect of attendance is statistically non-significant and negative (beta = -0.15, S.E. = 0.25, p = 0.535, 95% CI [-0.63, 0.33]; Std. beta = -0.14, 95% CI [-0.56, 0.29])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.50, S.E. = 0.28, p = 0.076, 95% CI [-0.05, 1.05]; Std. beta = 0.44, 95% CI [-0.05, 0.93])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
ers_r
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict ers_r with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: ers_r ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.48) and the part related to the fixed effects alone (marginal R2) is of 0.12. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 13.18 (S.E. = 1.61, p < .001, 95% CI [10.02, 16.33]). Within this model:
- The effect of age is statistically non-significant and positive (beta = 6.87e-03, S.E. = 0.02, p = 0.739, 95% CI [-0.03, 0.05]; Std. beta = 0.06, 95% CI [-0.31, 0.44])
- The effect of gender [male] is statistically non-significant and negative (beta = -0.84, S.E. = 0.70, p = 0.229, 95% CI [-2.21, 0.53]; Std. beta = -0.58, 95% CI [-1.53, 0.37])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.11, S.E. = 0.54, p = 0.832, 95% CI [-0.95, 1.18]; Std. beta = 0.08, 95% CI [-0.66, 0.82])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.19, S.E. = 0.28, p = 0.503, 95% CI [-0.37, 0.75]; Std. beta = 0.12, 95% CI [-0.23, 0.46])
- The effect of attendance is statistically non-significant and negative (beta = -0.43, S.E. = 0.27, p = 0.115, 95% CI [-0.97, 0.10]; Std. beta = -0.30, 95% CI [-0.67, 0.07])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.46, S.E. = 0.44, p = 0.300, 95% CI [-0.41, 1.33]; Std. beta = 0.32, 95% CI [-0.28, 0.92])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
pss_pa
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict pss_pa with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: pss_pa ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.54) and the part related to the fixed effects alone (marginal R2) is of 0.15. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 46.27 (S.E. = 4.67, p < .001, 95% CI [37.13, 55.42]). Within this model:
- The effect of age is statistically non-significant and positive (beta = 0.03, S.E. = 0.06, p = 0.599, 95% CI [-0.09, 0.15]; Std. beta = 0.10, 95% CI [-0.28, 0.48])
- The effect of gender [male] is statistically non-significant and negative (beta = -3.89, S.E. = 2.02, p = 0.054, 95% CI [-7.86, 0.07]; Std. beta = -0.94, 95% CI [-1.89, 0.02])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -1.11, S.E. = 1.57, p = 0.478, 95% CI [-4.19, 1.96]; Std. beta = -0.27, 95% CI [-1.01, 0.47])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.29, S.E. = 0.79, p = 0.709, 95% CI [-1.25, 1.84]; Std. beta = 0.06, 95% CI [-0.27, 0.39])
- The effect of attendance is statistically non-significant and negative (beta = -0.35, S.E. = 0.80, p = 0.664, 95% CI [-1.91, 1.22]; Std. beta = -0.08, 95% CI [-0.46, 0.29])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.18, S.E. = 1.22, p = 0.885, 95% CI [-2.22, 2.57]; Std. beta = 0.04, 95% CI [-0.53, 0.62])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
pss_ps
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict pss_ps with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: pss_ps ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.81) and the part related to the fixed effects alone (marginal R2) is of 0.16. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 17.00 (S.E. = 8.02, p = 0.034, 95% CI [1.28, 32.72]). Within this model:
- The effect of age is statistically non-significant and positive (beta = 5.05e-03, S.E. = 0.10, p = 0.961, 95% CI [-0.20, 0.21]; Std. beta = 0.01, 95% CI [-0.41, 0.43])
- The effect of gender [male] is statistically non-significant and positive (beta = 2.01, S.E. = 3.49, p = 0.565, 95% CI [-4.83, 8.86]; Std. beta = 0.31, 95% CI [-0.75, 1.37])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 5.20, S.E. = 2.68, p = 0.052, 95% CI [-0.05, 10.46]; Std. beta = 0.81, 95% CI [-8.51e-03, 1.62])
- The effect of number volunteer r is statistically non-significant and negative (beta = -1.40, S.E. = 0.88, p = 0.110, 95% CI [-3.12, 0.32]; Std. beta = -0.19, 95% CI [-0.43, 0.04])
- The effect of attendance is statistically non-significant and positive (beta = 1.08, S.E. = 1.38, p = 0.436, 95% CI [-1.63, 3.78]; Std. beta = 0.17, 95% CI [-0.25, 0.58])
- The effect of time point [2nd] is statistically significant and negative (beta = -3.33, S.E. = 1.30, p = 0.010, 95% CI [-5.88, -0.79]; Std. beta = -0.52, 95% CI [-0.91, -0.12])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
pss
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict pss with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: pss ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.76) and the part related to the fixed effects alone (marginal R2) is of 0.15. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 33.72 (S.E. = 12.03, p = 0.005, 95% CI [10.15, 57.29]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.03, S.E. = 0.16, p = 0.865, 95% CI [-0.33, 0.28]; Std. beta = -0.04, 95% CI [-0.45, 0.38])
- The effect of gender [male] is statistically non-significant and positive (beta = 5.90, S.E. = 5.23, p = 0.260, 95% CI [-4.36, 16.16]; Std. beta = 0.60, 95% CI [-0.45, 1.66])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 6.31, S.E. = 4.03, p = 0.117, 95% CI [-1.58, 14.20]; Std. beta = 0.65, 95% CI [-0.16, 1.45])
- The effect of number volunteer r is statistically non-significant and negative (beta = -1.69, S.E. = 1.45, p = 0.246, 95% CI [-4.53, 1.16]; Std. beta = -0.15, 95% CI [-0.41, 0.11])
- The effect of attendance is statistically non-significant and positive (beta = 1.42, S.E. = 2.07, p = 0.492, 95% CI [-2.63, 5.47]; Std. beta = 0.15, 95% CI [-0.27, 0.56])
- The effect of time point [2nd] is statistically non-significant and negative (beta = -3.50, S.E. = 2.16, p = 0.106, 95% CI [-7.74, 0.74]; Std. beta = -0.36, 95% CI [-0.79, 0.08])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
rki_responsible
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict rki_responsible with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: rki_responsible ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.41) and the part related to the fixed effects alone (marginal R2) is of 0.26. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 17.06 (S.E. = 2.83, p < .001, 95% CI [11.52, 22.61]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.05, S.E. = 0.04, p = 0.137, 95% CI [-0.12, 0.02]; Std. beta = -0.24, 95% CI [-0.55, 0.08])
- The effect of gender [male] is statistically non-significant and negative (beta = -2.39, S.E. = 1.22, p = 0.050, 95% CI [-4.79, 4.40e-03]; Std. beta = -0.79, 95% CI [-1.59, 1.46e-03])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.91, S.E. = 0.95, p = 0.338, 95% CI [-0.96, 2.78]; Std. beta = 0.30, 95% CI [-0.32, 0.92])
- The effect of number volunteer r is statistically non-significant and negative (beta = -0.38, S.E. = 0.58, p = 0.516, 95% CI [-1.52, 0.76]; Std. beta = -0.11, 95% CI [-0.45, 0.22])
- The effect of attendance is statistically significant and positive (beta = 1.39, S.E. = 0.48, p = 0.004, 95% CI [0.45, 2.34]; Std. beta = 0.46, 95% CI [0.15, 0.77])
- The effect of time point [2nd] is statistically non-significant and negative (beta = -0.48, S.E. = 0.94, p = 0.610, 95% CI [-2.33, 1.37]; Std. beta = -0.16, 95% CI [-0.77, 0.45])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
rki_nonlinear
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict rki_nonlinear with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: rki_nonlinear ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.51) and the part related to the fixed effects alone (marginal R2) is of 0.09. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 12.20 (S.E. = 3.29, p < .001, 95% CI [5.75, 18.66]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.05, S.E. = 0.04, p = 0.273, 95% CI [-0.13, 0.04]; Std. beta = -0.22, 95% CI [-0.61, 0.17])
- The effect of gender [male] is statistically non-significant and negative (beta = -0.77, S.E. = 1.43, p = 0.591, 95% CI [-3.57, 2.03]; Std. beta = -0.27, 95% CI [-1.26, 0.72])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -0.32, S.E. = 1.11, p = 0.775, 95% CI [-2.49, 1.85]; Std. beta = -0.11, 95% CI [-0.88, 0.66])
- The effect of number volunteer r is statistically non-significant and negative (beta = -0.31, S.E. = 0.55, p = 0.582, 95% CI [-1.39, 0.78]; Std. beta = -0.10, 95% CI [-0.44, 0.25])
- The effect of attendance is statistically non-significant and positive (beta = 0.71, S.E. = 0.56, p = 0.207, 95% CI [-0.39, 1.81]; Std. beta = 0.25, 95% CI [-0.14, 0.64])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.03, S.E. = 0.86, p = 0.973, 95% CI [-1.65, 1.71]; Std. beta = 0.01, 95% CI [-0.58, 0.61])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
rki_peer
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict rki_peer with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: rki_peer ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.49) and the part related to the fixed effects alone (marginal R2) is of 0.07. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 21.61 (S.E. = 2.61, p < .001, 95% CI [16.50, 26.73]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.01, S.E. = 0.03, p = 0.720, 95% CI [-0.08, 0.05]; Std. beta = -0.07, 95% CI [-0.47, 0.32])
- The effect of gender [male] is statistically non-significant and negative (beta = -0.78, S.E. = 1.13, p = 0.492, 95% CI [-3.00, 1.44]; Std. beta = -0.35, 95% CI [-1.35, 0.65])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.12, S.E. = 0.88, p = 0.892, 95% CI [-1.60, 1.84]; Std. beta = 0.05, 95% CI [-0.72, 0.83])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.43, S.E. = 0.44, p = 0.328, 95% CI [-0.44, 1.30]; Std. beta = 0.17, 95% CI [-0.17, 0.52])
- The effect of attendance is statistically non-significant and negative (beta = -0.32, S.E. = 0.45, p = 0.467, 95% CI [-1.20, 0.55]; Std. beta = -0.15, 95% CI [-0.54, 0.25])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 1.11, S.E. = 0.69, p = 0.108, 95% CI [-0.24, 2.45]; Std. beta = 0.50, 95% CI [-0.11, 1.10])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
rki_expect
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict rki_expect with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: rki_expect ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.38) and the part related to the fixed effects alone (marginal R2) is of 0.14. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 5.29 (S.E. = 1.19, p < .001, 95% CI [2.95, 7.63]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.03, S.E. = 0.02, p = 0.095, 95% CI [-0.06, 4.44e-03]; Std. beta = -0.30, 95% CI [-0.66, 0.05])
- The effect of gender [male] is statistically non-significant and positive (beta = 0.11, S.E. = 0.52, p = 0.838, 95% CI [-0.91, 1.12]; Std. beta = 0.09, 95% CI [-0.81, 0.99])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -0.51, S.E. = 0.40, p = 0.206, 95% CI [-1.30, 0.28]; Std. beta = -0.45, 95% CI [-1.15, 0.25])
- The effect of number volunteer r is statistically non-significant and negative (beta = -0.03, S.E. = 0.23, p = 0.887, 95% CI [-0.49, 0.42]; Std. beta = -0.03, 95% CI [-0.39, 0.33])
- The effect of attendance is statistically non-significant and positive (beta = 0.18, S.E. = 0.20, p = 0.367, 95% CI [-0.21, 0.58]; Std. beta = 0.16, 95% CI [-0.19, 0.52])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.27, S.E. = 0.37, p = 0.467, 95% CI [-0.46, 1.00]; Std. beta = 0.24, 95% CI [-0.41, 0.89])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
rki
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict rki with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: rki ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.50) and the part related to the fixed effects alone (marginal R2) is of 0.29. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 56.19 (S.E. = 4.44, p < .001, 95% CI [47.49, 64.89]). Within this model:
- The effect of age is statistically significant and negative (beta = -0.14, S.E. = 0.06, p = 0.015, 95% CI [-0.25, -0.03]; Std. beta = -0.39, 95% CI [-0.71, -0.08])
- The effect of gender [male] is statistically significant and negative (beta = -3.82, S.E. = 1.92, p = 0.047, 95% CI [-7.59, -0.06]; Std. beta = -0.82, 95% CI [-1.63, -0.01])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.22, S.E. = 1.49, p = 0.882, 95% CI [-2.71, 3.15]; Std. beta = 0.05, 95% CI [-0.58, 0.68])
- The effect of number volunteer r is statistically non-significant and negative (beta = -0.32, S.E. = 0.86, p = 0.710, 95% CI [-2.00, 1.36]; Std. beta = -0.06, 95% CI [-0.38, 0.26])
- The effect of attendance is statistically significant and positive (beta = 1.96, S.E. = 0.76, p = 0.009, 95% CI [0.48, 3.44]; Std. beta = 0.42, 95% CI [0.10, 0.74])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.88, S.E. = 1.37, p = 0.518, 95% CI [-1.80, 3.56]; Std. beta = 0.19, 95% CI [-0.39, 0.77])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
raq_possible
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict raq_possible with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: raq_possible ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.47) and the part related to the fixed effects alone (marginal R2) is of 0.10. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 14.63 (S.E. = 1.85, p < .001, 95% CI [11.00, 18.26]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -8.75e-03, S.E. = 0.02, p = 0.713, 95% CI [-0.06, 0.04]; Std. beta = -0.07, 95% CI [-0.45, 0.31])
- The effect of gender [male] is statistically non-significant and negative (beta = -1.08, S.E. = 0.80, p = 0.178, 95% CI [-2.65, 0.49]; Std. beta = -0.66, 95% CI [-1.63, 0.30])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.84, S.E. = 0.62, p = 0.175, 95% CI [-0.38, 2.06]; Std. beta = 0.52, 95% CI [-0.23, 1.27])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.05, S.E. = 0.33, p = 0.872, 95% CI [-0.59, 0.69]; Std. beta = 0.03, 95% CI [-0.32, 0.38])
- The effect of attendance is statistically non-significant and positive (beta = 0.17, S.E. = 0.32, p = 0.601, 95% CI [-0.45, 0.79]; Std. beta = 0.10, 95% CI [-0.28, 0.48])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.27, S.E. = 0.51, p = 0.593, 95% CI [-0.73, 1.27]; Std. beta = 0.17, 95% CI [-0.45, 0.78])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
raq_difficulty
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict raq_difficulty with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: raq_difficulty ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.52) and the part related to the fixed effects alone (marginal R2) is of 0.07. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 10.59 (S.E. = 1.77, p < .001, 95% CI [7.12, 14.05]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -6.91e-03, S.E. = 0.02, p = 0.762, 95% CI [-0.05, 0.04]; Std. beta = -0.06, 95% CI [-0.47, 0.34])
- The effect of gender [male] is statistically non-significant and negative (beta = -0.50, S.E. = 0.77, p = 0.516, 95% CI [-2.00, 1.01]; Std. beta = -0.34, 95% CI [-1.36, 0.68])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.53, S.E. = 0.59, p = 0.372, 95% CI [-0.63, 1.70]; Std. beta = 0.36, 95% CI [-0.43, 1.15])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.11, S.E. = 0.29, p = 0.714, 95% CI [-0.46, 0.67]; Std. beta = 0.06, 95% CI [-0.28, 0.41])
- The effect of attendance is statistically non-significant and positive (beta = 0.31, S.E. = 0.30, p = 0.303, 95% CI [-0.28, 0.91]; Std. beta = 0.21, 95% CI [-0.19, 0.61])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.24, S.E. = 0.45, p = 0.589, 95% CI [-0.63, 1.12]; Std. beta = 0.16, 95% CI [-0.43, 0.76])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
raq
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict raq with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: raq ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.54) and the part related to the fixed effects alone (marginal R2) is of 0.08. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 25.24 (S.E. = 3.53, p < .001, 95% CI [18.33, 32.15]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.02, S.E. = 0.05, p = 0.732, 95% CI [-0.10, 0.07]; Std. beta = -0.07, 95% CI [-0.47, 0.33])
- The effect of gender [male] is statistically non-significant and negative (beta = -1.57, S.E. = 1.53, p = 0.304, 95% CI [-4.57, 1.43]; Std. beta = -0.53, 95% CI [-1.54, 0.48])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 1.39, S.E. = 1.18, p = 0.242, 95% CI [-0.94, 3.71]; Std. beta = 0.47, 95% CI [-0.32, 1.25])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.13, S.E. = 0.57, p = 0.821, 95% CI [-0.99, 1.25]; Std. beta = 0.04, 95% CI [-0.30, 0.37])
- The effect of attendance is statistically non-significant and positive (beta = 0.48, S.E. = 0.60, p = 0.428, 95% CI [-0.71, 1.66]; Std. beta = 0.16, 95% CI [-0.24, 0.56])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.48, S.E. = 0.88, p = 0.582, 95% CI [-1.24, 2.20]; Std. beta = 0.16, 95% CI [-0.42, 0.74])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
who
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict who with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: who ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.72) and the part related to the fixed effects alone (marginal R2) is of 0.04. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 17.41 (S.E. = 5.80, p = 0.003, 95% CI [6.05, 28.78]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -0.07, S.E. = 0.07, p = 0.331, 95% CI [-0.22, 0.07]; Std. beta = -0.22, 95% CI [-0.65, 0.22])
- The effect of gender [male] is statistically non-significant and negative (beta = -1.11, S.E. = 2.52, p = 0.661, 95% CI [-6.05, 3.84]; Std. beta = -0.25, 95% CI [-1.34, 0.85])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -0.85, S.E. = 1.94, p = 0.661, 95% CI [-4.66, 2.95]; Std. beta = -0.19, 95% CI [-1.03, 0.66])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.43, S.E. = 0.71, p = 0.546, 95% CI [-0.97, 1.83]; Std. beta = 0.09, 95% CI [-0.19, 0.36])
- The effect of attendance is statistically non-significant and positive (beta = 0.16, S.E. = 1.00, p = 0.872, 95% CI [-1.79, 2.11]; Std. beta = 0.04, 95% CI [-0.40, 0.47])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.62, S.E. = 1.07, p = 0.558, 95% CI [-1.47, 2.72]; Std. beta = 0.14, 95% CI [-0.33, 0.60])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
phq
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict phq with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: phq ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.85) and the part related to the fixed effects alone (marginal R2) is of 0.08. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at -2.57 (S.E. = 4.96, p = 0.604, 95% CI [-12.28, 7.14]). Within this model:
- The effect of age is statistically non-significant and positive (beta = 0.02, S.E. = 0.06, p = 0.711, 95% CI [-0.10, 0.15]; Std. beta = 0.08, 95% CI [-0.36, 0.53])
- The effect of gender [male] is statistically non-significant and positive (beta = 0.55, S.E. = 2.16, p = 0.798, 95% CI [-3.68, 4.79]; Std. beta = 0.15, 95% CI [-0.97, 1.26])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 1.51, S.E. = 1.66, p = 0.362, 95% CI [-1.74, 4.76]; Std. beta = 0.40, 95% CI [-0.46, 1.25])
- The effect of number volunteer r is statistically non-significant and negative (beta = -0.47, S.E. = 0.46, p = 0.307, 95% CI [-1.36, 0.43]; Std. beta = -0.11, 95% CI [-0.32, 0.10])
- The effect of attendance is statistically non-significant and positive (beta = 0.89, S.E. = 0.85, p = 0.299, 95% CI [-0.79, 2.56]; Std. beta = 0.23, 95% CI [-0.21, 0.67])
- The effect of time point [2nd] is statistically non-significant and negative (beta = -0.36, S.E. = 0.67, p = 0.596, 95% CI [-1.67, 0.96]; Std. beta = -0.09, 95% CI [-0.44, 0.25])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
gad
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict gad with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: gad ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.83) and the part related to the fixed effects alone (marginal R2) is of 0.09. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 0.69 (S.E. = 4.11, p = 0.866, 95% CI [-7.35, 8.74]). Within this model:
- The effect of age is statistically non-significant and negative (beta = -1.97e-03, S.E. = 0.05, p = 0.970, 95% CI [-0.11, 0.10]; Std. beta = -8.31e-03, 95% CI [-0.45, 0.43])
- The effect of gender [male] is statistically non-significant and positive (beta = 2.37, S.E. = 1.79, p = 0.185, 95% CI [-1.13, 5.88]; Std. beta = 0.75, 95% CI [-0.36, 1.86])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.64, S.E. = 1.37, p = 0.643, 95% CI [-2.05, 3.33]; Std. beta = 0.20, 95% CI [-0.65, 1.05])
- The effect of number volunteer r is statistically non-significant and negative (beta = -0.21, S.E. = 0.40, p = 0.592, 95% CI [-0.99, 0.57]; Std. beta = -0.06, 95% CI [-0.28, 0.16])
- The effect of attendance is statistically non-significant and positive (beta = 0.37, S.E. = 0.71, p = 0.604, 95% CI [-1.02, 1.75]; Std. beta = 0.12, 95% CI [-0.32, 0.55])
- The effect of time point [2nd] is statistically non-significant and positive (beta = 0.21, S.E. = 0.59, p = 0.717, 95% CI [-0.94, 1.36]; Std. beta = 0.07, 95% CI [-0.30, 0.43])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
nb_pcs
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict nb_pcs with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: nb_pcs ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.56) and the part related to the fixed effects alone (marginal R2) is of 0.43. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 65.47 (S.E. = 5.62, p < .001, 95% CI [54.46, 76.48]). Within this model:
- The effect of age is statistically significant and negative (beta = -0.29, S.E. = 0.07, p < .001, 95% CI [-0.43, -0.15]; Std. beta = -0.56, 95% CI [-0.83, -0.29])
- The effect of gender [male] is statistically non-significant and negative (beta = -1.38, S.E. = 2.43, p = 0.570, 95% CI [-6.13, 3.38]; Std. beta = -0.20, 95% CI [-0.89, 0.49])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and positive (beta = 0.47, S.E. = 1.89, p = 0.805, 95% CI [-3.24, 4.17]; Std. beta = 0.07, 95% CI [-0.47, 0.60])
- The effect of number volunteer r is statistically non-significant and positive (beta = 2.11, S.E. = 1.14, p = 0.063, 95% CI [-0.12, 4.34]; Std. beta = 0.27, 95% CI [-0.02, 0.56])
- The effect of attendance is statistically non-significant and negative (beta = -1.13, S.E. = 0.95, p = 0.236, 95% CI [-3.00, 0.74]; Std. beta = -0.16, 95% CI [-0.43, 0.11])
- The effect of time point [2nd] is statistically significant and positive (beta = 3.98, S.E. = 1.84, p = 0.030, 95% CI [0.38, 7.58]; Std. beta = 0.58, 95% CI [0.05, 1.10])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
nb_mcs
We fitted a linear mixed model (estimated using REML and nloptwrap optimizer) to predict nb_mcs with age, gender, previous_volunteer, number_volunteer_r, attendance and time_point (formula: nb_mcs ~ 1 + age + gender + previous_volunteer + number_volunteer_r + attendance + time_point). The model included login_id as random effect (formula: ~1 | login_id). The model’s total explanatory power is substantial (conditional R2 = 0.58) and the part related to the fixed effects alone (marginal R2) is of 0.02. The model’s intercept, corresponding to age = 0, gender = female, previous_volunteer = yes_beyong_12_month, number_volunteer_r = 0, attendance = 0 and time_point = 1st , is at 53.24 (S.E. = 8.81, p < .001, 95% CI [35.98, 70.50]). Within this model:
- The effect of age is statistically non-significant and positive (beta = 0.04, S.E. = 0.11, p = 0.748, 95% CI [-0.19, 0.26]; Std. beta = 0.07, 95% CI [-0.36, 0.49])
- The effect of gender [male] is statistically non-significant and negative (beta = -2.08, S.E. = 3.82, p = 0.586, 95% CI [-9.58, 5.41]; Std. beta = -0.30, 95% CI [-1.37, 0.78])
- The effect of previous volunteer [yes_within_12_month] is statistically non-significant and negative (beta = -0.97, S.E. = 2.95, p = 0.742, 95% CI [-6.76, 4.82]; Std. beta = -0.14, 95% CI [-0.97, 0.69])
- The effect of number volunteer r is statistically non-significant and positive (beta = 0.18, S.E. = 1.33, p = 0.892, 95% CI [-2.42, 2.78]; Std. beta = 0.02, 95% CI [-0.31, 0.35])
- The effect of attendance is statistically non-significant and negative (beta = -0.47, S.E. = 1.51, p = 0.755, 95% CI [-3.43, 2.49]; Std. beta = -0.07, 95% CI [-0.49, 0.36])
- The effect of time point [2nd] is statistically non-significant and negative (beta = -0.30, S.E. = 2.02, p = 0.884, 95% CI [-4.25, 3.66]; Std. beta = -0.04, 95% CI [-0.61, 0.52])
Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald normal distribution approximation.
Likelihood ratio tests
outcome | model | npar | AIC | BIC | logLik | deviance | Chisq | Df | p |
|---|---|---|---|---|---|---|---|---|---|
sets | null | 3 | 213.008 | 218.494 | -103.504 | 207.008 | |||
sets | random | 9 | 215.734 | 232.191 | -98.867 | 197.734 | 9.275 | 6 | 0.159 |
setv | null | 3 | 184.883 | 190.369 | -89.441 | 178.883 | |||
setv | random | 9 | 188.312 | 204.770 | -85.156 | 170.312 | 8.571 | 6 | 0.199 |
maks | null | 3 | 244.500 | 249.986 | -119.250 | 238.500 | |||
maks | random | 9 | 251.844 | 268.302 | -116.922 | 233.844 | 4.656 | 6 | 0.589 |
ibs | null | 3 | 183.616 | 189.102 | -88.808 | 177.616 | |||
ibs | random | 9 | 178.206 | 194.664 | -80.103 | 160.206 | 17.410 | 6 | 0.008 |
ers_e | null | 3 | 137.551 | 143.037 | -65.776 | 131.551 | |||
ers_e | random | 9 | 142.914 | 159.372 | -62.457 | 124.914 | 6.637 | 6 | 0.356 |
ers_r | null | 3 | 164.582 | 170.068 | -79.291 | 158.582 | |||
ers_r | random | 9 | 170.849 | 187.306 | -76.424 | 152.849 | 5.733 | 6 | 0.454 |
pss_pa | null | 3 | 260.531 | 266.017 | -127.266 | 254.531 | |||
pss_pa | random | 9 | 266.211 | 282.669 | -124.105 | 248.211 | 6.321 | 6 | 0.388 |
pss_ps | null | 3 | 291.140 | 296.626 | -142.570 | 285.140 | |||
pss_ps | random | 9 | 292.449 | 308.906 | -137.224 | 274.449 | 10.691 | 6 | 0.098 |
pss | null | 3 | 330.034 | 335.520 | -162.017 | 324.034 | |||
pss | random | 9 | 334.763 | 351.220 | -158.381 | 316.763 | 7.271 | 6 | 0.296 |
rki_responsible | null | 3 | 233.777 | 239.263 | -113.889 | 227.777 | |||
rki_responsible | random | 9 | 232.629 | 249.086 | -107.314 | 214.629 | 13.149 | 6 | 0.041 |
rki_nonlinear | null | 3 | 225.935 | 231.421 | -109.968 | 219.935 | |||
rki_nonlinear | random | 9 | 233.857 | 250.314 | -107.928 | 215.857 | 4.079 | 6 | 0.666 |
rki_peer | null | 3 | 205.370 | 210.856 | -99.685 | 199.370 | |||
rki_peer | random | 9 | 213.001 | 229.458 | -97.500 | 195.001 | 4.370 | 6 | 0.627 |
rki_expect | null | 3 | 144.504 | 149.990 | -69.252 | 138.504 | |||
rki_expect | random | 9 | 149.575 | 166.033 | -65.788 | 131.575 | 6.929 | 6 | 0.327 |
rki | null | 3 | 272.479 | 277.965 | -133.239 | 266.479 | |||
rki | random | 9 | 269.921 | 286.379 | -125.961 | 251.921 | 14.557 | 6 | 0.024 |
raq_possible | null | 3 | 176.222 | 181.708 | -85.111 | 170.222 | |||
raq_possible | random | 9 | 183.728 | 200.185 | -82.864 | 165.728 | 4.495 | 6 | 0.610 |
raq_difficulty | null | 3 | 165.922 | 171.408 | -79.961 | 159.922 | |||
raq_difficulty | random | 9 | 175.121 | 191.579 | -78.561 | 157.121 | 2.800 | 6 | 0.833 |
raq | null | 3 | 229.379 | 234.865 | -111.690 | 223.379 | |||
raq | random | 9 | 237.808 | 254.266 | -109.904 | 219.808 | 3.571 | 6 | 0.734 |
who | null | 3 | 258.620 | 264.106 | -126.310 | 252.620 | |||
who | random | 9 | 268.704 | 285.162 | -125.352 | 250.704 | 1.916 | 6 | 0.927 |
phq | null | 3 | 231.097 | 236.583 | -112.549 | 225.097 | |||
phq | random | 9 | 239.559 | 256.017 | -110.780 | 221.559 | 3.538 | 6 | 0.739 |
gad | null | 3 | 217.005 | 222.491 | -105.503 | 211.005 | |||
gad | random | 9 | 224.755 | 241.213 | -103.378 | 206.755 | 4.250 | 6 | 0.643 |
nb_pcs | null | 3 | 304.857 | 310.343 | -149.429 | 298.857 | |||
nb_pcs | random | 9 | 294.631 | 311.089 | -138.315 | 276.631 | 22.226 | 6 | 0.001 |
nb_mcs | null | 3 | 306.945 | 312.431 | -150.472 | 300.945 | |||
nb_mcs | random | 9 | 317.907 | 334.365 | -149.953 | 299.907 | 1.038 | 6 | 0.984 |
Post hoc analysis text
Table
outcome | time_point | n | estimate | within es |
|---|---|---|---|---|
sets | 1st | 23 | 19.54 ± 3.11 | |
sets | 2nd | 23 | 20.06 ± 3.01 | -0.249 |
setv | 1st | 23 | 10.94 ± 2.51 | |
setv | 2nd | 23 | 11.94 ± 2.45 | -0.799 |
maks | 1st | 23 | 45.21 ± 5.66 | |
maks | 2nd | 23 | 45.57 ± 5.60 | -0.178 |
ibs | 1st | 23 | 14.66 ± 2.23 | |
ibs | 2nd | 23 | 15.70 ± 2.18 | -0.910 |
ers_e | 1st | 23 | 11.92 ± 1.64 | |
ers_e | 2nd | 23 | 12.41 ± 1.61 | -0.728 |
ers_r | 1st | 23 | 10.92 ± 2.00 | |
ers_r | 2nd | 23 | 11.38 ± 1.95 | -0.411 |
pss_pa | 1st | 23 | 43.43 ± 5.72 | |
pss_pa | 2nd | 23 | 43.61 ± 5.59 | -0.058 |
pss_ps | 1st | 23 | 25.74 ± 8.93 | |
pss_ps | 2nd | 23 | 22.41 ± 8.83 | 1.065 |
pss | 1st | 23 | 45.31 ± 13.60 | |
pss | 2nd | 23 | 41.81 ± 13.42 | 0.668 |
rki_responsible | 1st | 23 | 21.18 ± 3.76 | |
rki_responsible | 2nd | 23 | 20.70 ± 3.65 | 0.197 |
rki_nonlinear | 1st | 23 | 13.28 ± 4.03 | |
rki_nonlinear | 2nd | 23 | 13.31 ± 3.94 | -0.014 |
rki_peer | 1st | 23 | 19.29 ± 3.21 | |
rki_peer | 2nd | 23 | 20.40 ± 3.13 | -0.642 |
rki_expect | 1st | 23 | 4.95 ± 1.55 | |
rki_expect | 2nd | 23 | 5.22 ± 1.50 | -0.283 |
rki | 1st | 23 | 58.73 ± 5.73 | |
rki | 2nd | 23 | 59.62 ± 5.57 | -0.252 |
raq_possible | 1st | 23 | 15.04 ± 2.30 | |
raq_possible | 2nd | 23 | 15.32 ± 2.25 | -0.212 |
raq_difficulty | 1st | 23 | 12.01 ± 2.15 | |
raq_difficulty | 2nd | 23 | 12.25 ± 2.10 | -0.217 |
raq | 1st | 23 | 27.07 ± 4.26 | |
raq | 2nd | 23 | 27.55 ± 4.17 | -0.221 |
who | 1st | 23 | 14.43 ± 6.58 | |
who | 2nd | 23 | 15.05 ± 6.49 | -0.241 |
phq | 1st | 23 | 3.89 ± 5.41 | |
phq | 2nd | 23 | 3.53 ± 5.37 | 0.222 |
gad | 1st | 23 | 3.93 ± 4.51 | |
gad | 2nd | 23 | 4.14 ± 4.47 | -0.151 |
nb_pcs | 1st | 23 | 47.89 ± 7.41 | |
nb_pcs | 2nd | 23 | 51.87 ± 7.19 | -0.837 |
nb_mcs | 1st | 23 | 50.87 ± 10.43 | |
nb_mcs | 2nd | 23 | 50.57 ± 10.23 | 0.059 |